Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Antai Ventures

Location: Barcelona, Catalonia, Spain

Job Type: FULL_TIME

Category: Product Design / Venture Studio Operations

Date Posted: 2026-04-14

Experience Level: 2-5 Years (Mid-Level)

Remote Status: Hybrid (On-site in Barcelona required)

🚀 Role Summary

• This role is a hybrid Product Designer and Operations position, focusing on leveraging AI to accelerate product development within a venture studio environment.

• The primary objective is to design end-to-end product experiences, integrating AI-native workflows, agentic systems, and AI-assisted tools for rapid ideation, prototyping, and execution.

• Success in this role requires a strong blend of traditional UX/UI design expertise, pragmatic product thinking, and a proactive, hands-on approach to utilizing cutting-edge AI technologies.

• The Product Designer will be instrumental in shaping how products are conceived, built, and iterated upon, working closely with cross-functional teams to deliver high-quality, user-centric solutions at speed.

📝 Enhancement Note: The job description explicitly states this is "not a traditional design role" and emphasizes "AI-native" usage of tools, agentic systems, and AI-assisted workflows. This indicates a strong operational component focused on efficiency and speed of product delivery, rather than purely aesthetic design. The "Telecommute" location type in the raw data, combined with the requirement to be based in Barcelona and the mention of "seaside offices," suggests a hybrid model where on-site presence is expected for collaboration and team engagement.

📈 Primary Responsibilities

• Design comprehensive product experiences, encompassing user research, journey mapping, wireframing, user flows, UI design, and interaction specifications.

• Translate intricate user needs, business objectives, and data insights into elegant, intuitive, and impactful product solutions.

• Champion the user experience throughout the entire product lifecycle, from initial concept and research through prototyping, testing, and final implementation.

• Collaborate intimately with Product Managers, Engineers, Data Scientists, Growth, Sales, and Marketing teams to define, develop, and launch new products and features.

• Produce clear, detailed, and implementation-ready design assets and specifications that enable engineering teams to build efficiently and with confidence.

• Develop, maintain, and evolve robust design systems, interaction patterns, and reusable UI components to ensure consistency and scalability across ventures.

• Rapidly prototype and iterate on ideas using both standard design tools and advanced AI-powered platforms to validate concepts and gather early feedback.

• Actively employ AI workflows, agentic systems, and AI-assisted building processes to enhance research capabilities, concept generation, idea testing, and overall execution velocity.

• Serve as the primary advocate for user needs and perspectives while skillfully balancing product vision, technical feasibility, and the imperative for rapid delivery.

• Contribute to exploring and defining novel operational methodologies at the intersection of design, product management, and artificial intelligence.

📝 Enhancement Note: The responsibilities heavily emphasize the "AI-native" aspect, requiring the designer to actively use AI for research, concept generation, prototyping, and execution. This goes beyond typical design tasks and integrates operational efficiency through AI. The mention of "shipping products and features" and "implementation-ready designs" highlights a strong focus on execution and operational delivery.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, user experience, and product development is expected. This could be demonstrated through a Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience:

• Minimum of 2-5 years of demonstrated experience as a Product Designer, with a proven track record of end-to-end product development.

Required Skills:

• Exceptional UX/UI design skills, with a strong portfolio showcasing end-to-end product thinking across multiple projects.

• AI-Native Workflow Proficiency: Actively and proficiently use AI tools for research, ideation, content generation, iteration, and shipping products.

• Agentic Systems & AI Co-pilots: Comfort and experience with utilizing agentic systems, AI co-pilots, and automation workflows within the design process.

• Rapid Prototyping: Ability to build prototypes quickly, utilizing both traditional design tools and AI-assisted or low-code/no-code tools to validate ideas rapidly.

• Product Lifecycle Management: Deep understanding and hands-on experience with the full product lifecycle, from discovery and ideation to execution and post-launch analysis.

• User Research & Testing: Solid experience conducting user research, usability testing, and analyzing user feedback.

• Data & Metrics Driven: Comfort with defining product metrics, analyzing data, and using experimentation to inform design decisions.

• Cross-Functional Collaboration: Proven ability to work effectively with product managers, engineers, data scientists, and other stakeholders.

• Design Systems: Experience in building and maintaining design systems, interaction patterns, and reusable components.

• Figma Proficiency: Advanced skills and extensive experience with Figma for design and prototyping.

• Communication: Clear and influential communication skills, with the ability to articulate product rationale and influence cross-functional teams.

• Language Fluency: Fluent in both Spanish and English.

Preferred Skills:

• Experience working on 0→1 products, startups, or within venture studios.

• Experience building internal tools, growth experiments, or MVPs using AI-assisted workflows or low-code/no-code platforms.

• Genuine enthusiasm and a forward-thinking perspective on how AI is transforming product design, development, and company building.

• Familiarity with AI-assisted coding or low-code/no-code tools beyond prototyping.

📝 Enhancement Note: The "AI-native" requirement is central, demanding active usage of AI in daily workflows. The distinction between "required" and "preferred" skills highlights the core expectations versus areas that offer a competitive advantage, particularly concerning AI's application in building MVPs or internal tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio demonstrating end-to-end product thinking and design execution across multiple projects.

• Case studies that clearly articulate the problem, your process (including AI tool integration), design solutions, and tangible outcomes or impact.

• Evidence of translating complex user needs and business goals into simple, intuitive product experiences.

• Demonstrations of rapid prototyping capabilities, showcasing how ideas were validated quickly, ideally with examples using AI-assisted methods.

Process Documentation:

• Showcase your ability to document design processes, including user research methodologies, ideation frameworks, and testing procedures.

• Highlight how you integrate AI tools and workflows into your process to improve efficiency, explore more options, and accelerate delivery.

• Provide examples of how you define and measure product success through metrics and analytics, demonstrating a data-driven approach.

• Illustrate your experience in creating and maintaining design systems and reusable components for scalable product development.

📝 Enhancement Note: The portfolio is crucial for demonstrating not just design skill, but also the practical application of AI in the design process and the ability to deliver results in a fast-paced venture studio environment. Emphasis on "AI tool integration" and "accelerating delivery" is key.

💵 Compensation & Benefits

Salary Range:

• For a mid-level Product Designer with 2-5 years of experience in Barcelona, Spain, the estimated annual salary range is between €40,000 and €55,000. This range reflects the specialized "AI-native" skill requirement and the demanding nature of a venture studio environment.

• Methodology: This estimate is based on research of typical Product Designer salaries in Barcelona for mid-level roles, adjusted upwards to account for the unique AI proficiency and venture studio context, which often commands a premium for specialized, high-impact skills. Data sources include industry salary benchmarks, local job market analysis for tech roles in Spain, and typical compensation for roles requiring advanced technology integration.

Benefits:

• Full-time Role: Secure, full-time employment with a leading venture studio.

• Ambitious Product Exposure: Opportunity to work on cutting-edge products with high-caliber founders and operators.

• Entrepreneurial Environment: Immerse yourself in a dynamic, fast-paced, and highly entrepreneurial culture.

• Venture Studio Experience: Gain exposure to multiple ventures and hands-on product building from the outset.

• Strong Growth Opportunities: Significant potential for career advancement within a leading European venture studio.

• Prime Office Location: Beautiful seaside offices located in front of La Barceloneta, offering an inspiring work environment.

• AI Tool Investment: Potential access to and investment in leading AI tools and technologies to support your work.

Working Hours:

• Standard full-time working hours are expected, likely around 40 hours per week. Given the fast-paced and entrepreneurial nature of Antai Ventures, flexibility and a results-oriented approach may be required, potentially involving some work outside standard hours during critical project phases.

📝 Enhancement Note: Salary is an estimate based on role, location, and specialized skills. Benefits highlight the entrepreneurial nature and growth potential, aligning with the venture studio's mission.

🎯 Team & Company Context

🏢 Company Culture

Industry: Venture Studio / Startup Incubation / Technology Investment. Antai Ventures operates at the forefront of innovation, building and scaling new technology companies. This industry demands agility, a proactive mindset, and a constant drive for growth and efficiency.

Company Size: While the exact number of employees isn't specified in the provided data, Antai Ventures has co-founded over 28 companies with 3,000+ employees across its ventures. The core team at Antai Ventures is likely a lean, highly skilled group focused on incubation and strategic support.

Founded: 2012. With a decade of experience, Antai Ventures has a proven track record of successfully launching and growing ventures, indicating a stable yet innovative operational foundation.

Team Structure:

• The Product & Tech team is likely a core function within Antai Ventures, comprising Product Managers, Engineers, Data Scientists, and Designers.

• This designer will report into a Product Lead or Head of Product/Tech, working under a flat hierarchy common in venture studios.

Methodology:

• Data-Driven Decision Making: Emphasis on using data analytics and experimentation to inform product strategy and design.

• Agile & Lean Principles: Operations are likely structured around agile methodologies, with a focus on rapid iteration, MVP development, and continuous feedback loops.

• AI-Augmented Workflows: A core operational principle is the integration of AI to enhance speed, efficiency, and innovation across all stages of product development.

Company Website: https://antaiventures.com/

📝 Enhancement Note: The company culture is described as "young, fast-moving and highly entrepreneurial," which is critical for operations professionals. The "AI-native" requirement is a direct reflection of their operational methodology and commitment to leveraging technology for efficiency.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer (2-5 years of experience). However, the "AI-native" focus and the venture studio environment suggest an opportunity for accelerated growth beyond typical design roles, potentially into product strategy, AI integration specialist, or even operational leadership within new ventures.

Reporting Structure: The designer will likely report to a senior member of the Product & Tech team, such as a Head of Product or Lead Designer, and will work closely with various venture founders and internal stakeholders. This structure facilitates direct impact and learning from experienced operators and entrepreneurs.

Operations Impact: The designer's operations impact will be significant, directly influencing the speed, quality, and efficiency of product development for multiple ventures. By leveraging AI, they will help de-risk early-stage product development, accelerate time-to-market, and improve overall product-market fit.

Growth Opportunities:

• Specialization in AI for Product: Deepen expertise in applying AI tools, agentic systems, and AI-assisted workflows to product design and development, becoming a leader in this emerging field.

• Venture Studio Experience: Gain broad exposure to launching and scaling diverse tech products, understanding the operational nuances of different business models.

• Leadership Potential: Opportunities to lead design efforts for new ventures, mentor junior designers, or influence product strategy as the company grows.

• Skill Diversification: Potential to learn about broader operational aspects of venture building, including growth hacking, product management frameworks, and go-to-market strategies.

📝 Enhancement Note: The growth trajectory is heavily tied to the adoption and mastery of AI in an operational context. The ability to impact multiple ventures offers a unique learning and career acceleration path not found in traditional product companies.

🌐 Work Environment

Office Type: The company offers "beautiful seaside offices in front of La Barceloneta." This suggests a modern, attractive, and potentially collaborative physical workspace conducive to innovation.

Office Location(s): Barcelona, Spain, specifically in a desirable seaside area (La Barceloneta). This location offers a high quality of life and a vibrant tech ecosystem.

Workspace Context:

• Collaborative Hub: The office environment likely fosters cross-functional collaboration, encouraging spontaneous interactions and team synergy, essential for a venture studio.

• Technology-Forward: Expect access to modern design tools, software, and potentially advanced AI hardware or cloud services to support the "AI-native" workflow.

• Entrepreneurial Atmosphere: The workspace will likely reflect a dynamic, fast-paced culture where innovation and rapid execution are paramount.

Work Schedule:

• The role is full-time, likely with a standard 40-hour work week. However, the "fast-moving and highly entrepreneurial environment" suggests that flexibility is key, and occasional extended hours may be necessary to meet project deadlines or seize opportunities. This can be balanced by the appealing office location and the company's focus on impactful work.

📝 Enhancement Note: The description of the office as "seaside" and "beautiful" points to a desirable work environment that likely supports collaboration and employee well-being, crucial for retaining talent in demanding roles.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit CV and portfolio via the provided link.

• Initial Screening: Review of portfolio and CV to assess alignment with the "AI-native" Product Designer profile and experience.

• Technical/Portfolio Interview: In-depth discussion of portfolio projects, focusing on design process, problem-solving, user empathy, and crucially, the practical application of AI tools and workflows. Expect to walk through case studies demonstrating end-to-end product thinking and operational efficiency gains.

• Cross-Functional Interview: Conversation with Product Managers, Engineers, or Founders to assess collaboration skills, product judgment, communication clarity, and cultural fit within the entrepreneurial environment.

• Final Interview: Potentially with a senior leader or founder to discuss strategic vision, career aspirations, and overall alignment with Antai Ventures' mission.

Portfolio Review Tips:

• Highlight AI Integration: Explicitly showcase how you've used AI tools (e.g., for research synthesis, ideation, content generation, prototyping assistance, code generation) in your projects. Quantify the impact if possible (e.g., "reduced research synthesis time by X%", "generated Y concept variations in Z hours").

• Demonstrate End-to-End Ownership: Clearly map out your involvement from problem definition to final shipped product, emphasizing your strategic thinking and operational execution.

• Showcase Rapid Iteration: Include examples of quick prototyping and testing cycles, ideally illustrating how AI accelerated these phases.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs and the efficiency gains achieved through your process.

• Tailor to Venture Studio: Frame your experience in the context of launching new products, working with ambiguity, and operating in fast-paced environments.

Challenge Preparation:

• Be prepared for potential design challenges that might involve rapid ideation, defining MVP features, or solving a product problem with AI-assisted approaches.

• Practice articulating your design decisions, especially how AI influences your choices and execution speed.

• Be ready to discuss your understanding of product metrics and how you would measure success for a new venture product.

📝 Enhancement Note: The interview process and portfolio review heavily emphasize the practical, operational application of AI in design. Candidates must be ready to demonstrate their AI proficiency with concrete examples and quantifiable results.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Mandatory for UI/UX design and prototyping. Expect advanced usage, including component libraries and collaborative features.

• AI Design Assistants: Tools that leverage AI for generating design ideas, content, variations, or even code snippets. This could include platforms like Uizard, Galileo AI, Midjourney (for inspiration), or AI-powered features within existing design tools.

• Prototyping Tools: Figma's built-in prototyping, alongside potentially tools like ProtoPie or Framer, with an emphasis on rapid iteration.

• AI Workflow Tools: Agentic systems, AI copilots, or platforms that orchestrate multi-step AI processes for research, analysis, or content creation.

Analytics & Reporting:

• Web Analytics Platforms: Google Analytics, Mixpanel, Amplitude, or similar for tracking user behavior and product performance.

• Data Visualization Tools: Tableau, Power BI, Looker Studio (or similar) for creating dashboards and reporting on key metrics.

• A/B Testing Tools: Optimizely, VWO, or in-house solutions for experimentation.

CRM & Automation:

• While not a primary focus for a Product Designer, familiarity with CRM systems (e.g., Salesforce, HubSpot) and marketing automation tools might be beneficial for understanding user journeys and business goals.

• Low-code/No-code Platforms: Experience with platforms like Webflow, Bubble, or similar for rapid prototyping and MVP development, potentially augmented by AI.

📝 Enhancement Note: The technology stack is heavily weighted towards AI tools. Proficiency in Figma is a baseline, but the critical differentiator will be the designer's ability to integrate and leverage a variety of AI platforms and workflows to accelerate product development.

👥 Team Culture & Values

Operations Values:

• AI-Native Innovation: A core value is embracing and actively utilizing AI to push boundaries in product development and operational efficiency.

• Speed & Execution: A strong bias for action and rapid iteration is paramount, aiming to move from idea to impact quickly.

• User Empathy & Quality: Despite the speed, a deep commitment to understanding user needs and delivering high-quality, crafted experiences remains fundamental.

• Entrepreneurial Spirit: Fostering a proactive, self-driven, and ownership-oriented mindset across all team members.

• Data-Driven Rigor: Utilizing data and analytics to inform decisions, measure impact, and drive continuous improvement.

Collaboration Style:

• Cross-Functional Synergy: Highly collaborative, with seamless interaction between design, product, engineering, and data science teams.

• Open Communication: Encouraging direct, honest feedback and transparent communication to foster rapid problem-solving.

• Experimentation & Learning: A culture that embraces experimentation, learns from failures, and shares knowledge readily to improve collective processes and outcomes.

📝 Enhancement Note: The values emphasize a blend of technological innovation (AI), operational efficiency (speed, execution), and user-centricity. This sets the tone for how operations are conducted within the venture studio.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements and new tools in AI can be challenging, requiring continuous learning and adaptation.

• Balancing Speed with Quality: The pressure to deliver quickly using AI might sometimes conflict with the need for deep craftsmanship and thorough user validation.

• Integrating AI into Established Workflows: Effectively integrating new AI tools and processes into existing design and development workflows requires careful planning and change management.

• Defining AI's Role in Design: Navigating the ethical considerations and optimal integration points of AI in the creative and user-centric design process.

Learning & Development Opportunities:

• AI Specialization: Become an expert in AI-driven product design and development, a highly sought-after skill.

• Startup/Venture Building: Gain invaluable experience in launching and scaling multiple tech ventures from the ground up.

• Cross-Functional Mastery: Develop a deep understanding of product management, engineering, data science, and business operations through close collaboration.

• Mentorship: Opportunities to learn from experienced founders, operators, and investors within the Antai Ventures network.

📝 Enhancement Note: The challenges are directly tied to the innovative and rapidly evolving nature of AI and the venture studio model. Growth opportunities are framed around leveraging these challenges into specialized expertise and broad operational experience.

💡 Interview Preparation

Strategy Questions:

• AI Integration: "Describe a project where you significantly leveraged AI tools to accelerate your design process or improve product outcomes. What specific AI tools did you use, and what was the impact?" (Prepare a case study emphasizing AI's operational benefit.)

• Product Vision & Execution: "How do you approach taking a product from initial concept to a shippable MVP, especially in a fast-paced environment? How would AI assist in this process?" (Focus on your end-to-end process and AI's role in speed.)

• Problem Solving: "Imagine we have a user retention problem on a new product. How would you, as a Product Designer, approach diagnosing and solving this problem, utilizing both traditional methods and AI?" (Demonstrate analytical and AI-driven problem-solving.)

Company & Culture Questions:

• Venture Studio Fit: "What excites you about working in a venture studio environment compared to a traditional tech company?" (Highlight your adaptability, entrepreneurial drive, and desire for broad impact.)

• AI Enthusiasm: "What are your thoughts on the future of AI in product design and development? How do you stay updated?" (Show genuine interest and a proactive learning approach.)

• Collaboration Style: "Describe your ideal collaboration with Product Managers and Engineers. How do you ensure alignment and efficient handoffs, especially when using AI-assisted workflows?" (Emphasize clear communication and integration.)

Portfolio Presentation Strategy:

• Quantify AI Impact: For each project, clearly state how AI was used and the quantifiable benefits (e.g., time saved, iterations increased, new ideas generated).

• Showcase Process, Not Just Pixels: Detail your thought process, user research, and how you navigated challenges, explicitly showing your "AI-native" workflow.

• Focus on Outcomes: Highlight the results of your designs, whether they are user adoption, engagement metrics, or business impact, linking them back to your design and operational approach.

• Storytelling: Craft a narrative around each project that showcases your problem-solving skills, user empathy, and ability to deliver value efficiently.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical AI usage, operational efficiency, and a strong fit for a fast-paced, entrepreneurial venture studio. Portfolio examples must be tailored to highlight these specific requirements.

📌 Application Steps

To apply for this AI-Native Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio prominently features case studies demonstrating your end-to-end product thinking and, critically, your practical application of AI tools and workflows to accelerate design processes and product delivery. Be ready to discuss specific AI tools and their impact.

• Resume Optimization: Tailor your resume to highlight keywords such as "AI-native," "Product Designer," "UX/UI," "Figma," "Prototyping," "Agentic Systems," "Venture Studio," and any experience with 0→1 products or rapid iteration. Clearly articulate achievements with quantifiable results.

• Interview Preparation: Practice articulating your design process, especially how AI integrates into your workflow. Prepare to discuss your experience with rapid prototyping, user research, and cross-functional collaboration. Have specific examples ready for strategic and behavioral questions.

• Company Research: Familiarize yourself with Antai Ventures' portfolio companies and their mission. Understand their approach to building ventures and how AI fits into their operational strategy. Research the Barcelona tech scene and the company's location to show genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions tailored to a Product Designer role with a strong AI and operational focus. All details, especially regarding specific AI tools and expected workflows, should be verified directly with Antai Ventures during the interview process.